Data aggregator MX hires Bain exec as COO

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The data aggregator MX is adding a venture capitalist with almost 25 years of high-tech management experience to its leadership team.

Ben Holzman, formerly a managing director of Bain Capital Ventures, will be MX’s chief operating officer. At Bain he co-built the company’s enterprise software practice.

“In the last year alone, our customer base has grown from 1,100 to 1,800 financial institutions and fintechs, and with that kind of accelerated growth comes the need for a COO who knows how to rapidly scale an organization,” Ryan Caldwell, MX's chief executive, said in a press release.

“Holzman is perfect for this role. He has built and guided fast-growing enterprise software practices and sales teams at some of the world’s most respected organizations. He will help fine-tune our operational approach as we move MX into the future.”

Before working for Bain, Holzman was vice president of sales operations at Iron Mountain, an information management company. There he co-led a team that redesigned the company's territory and coverage models for sales, marketing and account management. He also served as co-CEO and chief financial officer at ObserveIT, a security software company that tracks user activity and detects insider threats.

Holzman led the original funding for Rapid7, a provider of security and operations data and analytics, and recruited the company’s initial team. He remains its longest-serving outside board member, with a 10-year tenure.

Holzman earned a dual degree in biomedical and electrical engineering from Duke University and an MBA from the MIT Sloan School of Management.

“The proper use of big data is rapidly reshaping most industries on this planet including banking and fintech,” Holzman said in the release.

“The impact that aggregated, clean data will have on this industry is almost mind-boggling. ... The more I’ve followed the MX team over the last couple years, the more excited I’ve become to be part of this rare opportunity of empowering people and financial institutions through data.”

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